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1.山东科技大学电气与自动化工程学院,山东省青岛市 266590
2.电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061
3.山东信通电子股份有限公司,山东省淄博市 255088
吉兴全(1970—),男,博士,教授,博士生导师,主要研究方向:配电网优化。E-mail:xqji@sdust.edu.cn
姜海洋(1999—),男,硕士研究生,主要研究方向:配电网优化运行。E-mail:jianghaiyang@sdust.edu.cn
张玉敏(1986—),女,通信作者,博士,副教授,硕士生导师,主要研究方向:电力系统运行与控制。E-mail:yuminzhang@mail.sdu.edu.cn
收稿:2024-05-06,
修回:2024-10-12,
网络出版:2024-11-20,
纸质出版:2025-02-10
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吉兴全,姜海洋,张玉敏等.考虑网络重构的三相不平衡配电网μPMU组合优化配置[J].电力系统自动化,2025,49(3):145-155.
JI Xingquan,JIANG Haiyang,ZHANG Yumin,et al.Combined Optimal Configuration of μPMU for Three-phase Unbalanced Distribution Network Considering Network Reconstruction[J].Automation of Electric Power Systems,2025,49(3):145-155.
吉兴全,姜海洋,张玉敏等.考虑网络重构的三相不平衡配电网μPMU组合优化配置[J].电力系统自动化,2025,49(3):145-155. DOI: 10.7500/AEPS20240506009.
JI Xingquan,JIANG Haiyang,ZHANG Yumin,et al.Combined Optimal Configuration of μPMU for Three-phase Unbalanced Distribution Network Considering Network Reconstruction[J].Automation of Electric Power Systems,2025,49(3):145-155. DOI: 10.7500/AEPS20240506009.
现有微型相量测量单元(μPMU)优化配置方法未充分考虑实际配电网拓扑结构变化频繁和三相不平衡的问题。因此,文中提出一种考虑网络重构的三相不平衡配电网μPMU组合优化配置方法。首先,基于配电网三相不平衡特性提出零注入相的概念,分析了其对网络局部可观测性的影响;将零注入相纳入μPMU配置规则可有效减少网络完全可观所需的μPMU配置数量。其次,为应对配电网拓扑结构变化导致部分区域不可观的问题,提出一种考虑三相不平衡配电网动态重构的μPMU优化配置模型;该模型将动态重构求解得到的典型拓扑结构作为μPMU的配置依据,并考虑三相和单相μPMU的配置成本差异,在实现μPMU组合配置成本最小化的同时提高系统量测冗余度。最后,以IEEE 34节点和IEEE 123节点系统为例进行仿真验证,结果表明所提模型能够适应配电网拓扑结构变化并显著降低μPMU配置成本。
The existing optimal configuration methods of microphasor measurement units (μPMUs) fail to consider the frequent changes in the actual topology of distribution networks and the three-phase imbalance. Therefore
this paper proposes a combined optimal configuration method of μPMUs for three-phase unbalanced distribution networks considering network reconfiguration. Firstly
based on the three-phase unbalanced characteristics of distribution networks
the concept of zero-injection phase is put forward
and its effect on the local observability of the network is analyzed. Incorporating zero-injection phases into the μPMU configuration rules can effectively reduce the number of μPMUs that need to be configured for complete observability of the network. Secondly
to deal with the problem of partial unobservability caused by the changes in the topology of distribution networks
an optimal configuration model of μPMUs considering the dynamic reconfiguration of three-phase unbalanced distribution networks is proposed. This model takes the typical topology obtained by dynamic reconfiguration solution as the basis for μPMU configuration
and considers the cost differences between three-phase and single-phase μPMU configuration. While minimizing the combined configuration cost of μPMUs
the system measurement redundancy is improved. Finally
taking the IEEE 34-bus and IEEE 123-bus systems as cases for simulation verification
the results show that the proposed model can adapt to the changes in the topology of distribution networks and significantly reduce the configuration cost of μPMUs.
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